B7LS23 AF NFT

UPF0259 membrane protein YciC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibgyohgi3mqfvvpxrwgvygmk7grwiwia7hnnudolitjtapazzpanm/metadata.json
IPFS of structure file: 
bafybeih3whqyfc7dq4qupsmkbju4pyhjpuigcahvjkwzmwifbpbwic74du/AF-B7LS23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8a472F9414Bedc654E6640D356517d0b0Ec25226
First NFT owner address (bech32): 
genesis13frjl9q5hmwx2nnxgrf4v5tapv8vy53xtchtp4
Current NFT ID #527639 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
527639
Accession (UniProt):
B7LS23
Name::
UPF0259 membrane protein YciC
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT B7LS23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LS23|YCIC_ESCF3 UPF0259 membrane protein YciC OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=yciC PE=3 SV=1 MSITAQSVYRDTGNFFRNQFMTILLVSLLCAFITVVIGHVFSPSEAQLASLDKVETLSDNAGLFEIVQNMSLEQKQVLVQASAASTFSGLIGNAILAGGMLLLIQLVSAGHRVSALRAIGASAPILPKLFILIFLTTLMVQIGIMFVVVPGILMAIVLALAPVMLVQDKMGVFASMRSSIRLTWANMRLIAPAVLSWLLAKTALLLLASRFAALTPEVGAILANTLSNLFSAVLLIYLFRLYMLIRQ